Büyüköztekin, Tarık

Loading...
Name Variants
Job Title
Email Address
Main Affiliation
01. Izmir Institute of Technology
Status
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

Sustainable Development Goals

NO POVERTY1
NO POVERTY
0
Research Products
ZERO HUNGER2
ZERO HUNGER
0
Research Products
GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
0
Research Products
QUALITY EDUCATION4
QUALITY EDUCATION
1
Research Products
GENDER EQUALITY5
GENDER EQUALITY
0
Research Products
CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
0
Research Products
AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
0
Research Products
DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
0
Research Products
INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
2
Research Products
REDUCED INEQUALITIES10
REDUCED INEQUALITIES
0
Research Products
SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
0
Research Products
RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
0
Research Products
CLIMATE ACTION13
CLIMATE ACTION
0
Research Products
LIFE BELOW WATER14
LIFE BELOW WATER
0
Research Products
LIFE ON LAND15
LIFE ON LAND
0
Research Products
PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
Research Products
PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
0
Research Products
This researcher does not have a Scopus ID.
This researcher does not have a WoS ID.
No records found in other affiliations.
Scholarly Output

3

Articles

1

Views / Downloads

6256/989

Supervised MSc Theses

1

Supervised PhD Theses

0

WoS Citation Count

1

Scopus Citation Count

6

Patents

0

Projects

0

WoS Citations per Publication

0.33

Scopus Citations per Publication

2.00

Open Access Source

2

Supervised Theses

1

JournalCount
International Conference on Artificial Intelligence and Data Processing, IDAP 20181
Robotica1
Current Page: 1 / 1

Scopus Quartile Distribution

Competency Cloud

GCRIS Competency Cloud

Scholarly Output Search Results

Now showing 1 - 3 of 3
  • Master Thesis
    Surgery Simulator Design for Minimally Invasive Pituitary Gland Surgery
    (01. Izmir Institute of Technology, 2021) Büyüköztekin, Tarık; Dede, Mehmet İsmet Can; Dede, Mehmet İsmet Can; 03.10. Department of Mechanical Engineering; 01. Izmir Institute of Technology; 03. Faculty of Engineering
    Today, interest in robotics applications in the medical field has increased as well as in every field of the industry due to the development in robotic technology and control. The use of robots in surgeries has become widespread. Researchers in Izmir Institute of Technology and Hacettepe University have produced a surgical assistance robot named NeuRoboScope for minimal invasive pituitary gland tumor surgeries. This robot handles and directs the endoscope during the surgery by receiving motion demands from the surgeon via a master system that is composed of a wearable ring and a foot pedal This thesis study aims to develop a simulator to train the surgeons for using the NeuRoboScope system. For this purpose, NeuRoboScope Surgery Simulator v2 (NSSv2) has been developed in which it is aimed to simulate operation conditions as well as the ideal conditions for NeuRoboScope education. To simulate the operation conditions, surgical instruments, endoscope and NeuRoboScope system controlling this endoscope are included in the simulator replicating the process of minimally invasive pituitary gland tumor surgery. NSSv2 system uses 2 haptic devices, a specially designed control ring that controls the active part of the NeuRoboScope system and has an inertial measurement unit and also wirelessly communicates with the system, a foot pedal activating the control of the ring, a model skull to determine the surgery region and a monitor that receives the visual feedback of the simulation to control the surgical instruments from the physical environment. In addition to training, it is aimed to customize the NeuRo boScope's teleoperation system with respect to user needs and operation styles. In line with this objective, the user calibration mode is generated. In this way, an efficient and customized control system is created for the use of the NeuRoboScope system. A training procedure is developed with several scenarios within the NSSv2 system. When users carry out this training, the completion time of the scenario, the number of pedal usage, and the amount of motion of the surgical tools are recorded by the system. Improvements in the capabilities of users can be observed and the efficiency of NSSv2 can be evaluated owing to these data.
  • Article
    Enabling Personalization of a Robotic Surgery Procedure Via a Surgery Training Simulator
    (Cambridge University Press, 2022) Dede, Mehmet İsmet Can; Büyüköztekin, Tarık; Büyüköztekin, Tarık; Dede, Mehmet İsmet Can; Berker, Mustafa; 03.10. Department of Mechanical Engineering; 01. Izmir Institute of Technology; 03. Faculty of Engineering
    Although robotic or robot-assisted surgery has been increasingly used by many surgical disciplines, its application in cranial or skull base surgery is still in its infancy. Master-slave teleoperation setting of these robotic systems enables these surgical procedures to be replicated in a virtual reality environment for surgeon training purposes. A variety of teleoperation modes were previously determined with respect to the motion capability of the surgeon's hand that wears the ring as the surgeon handles a surgical tool inside the surgical workspace. In this surgery training simulator developed for a robot-assisted endoscopic skull base surgery, a new strategy is developed to identify the preferred motion axes of the surgeon. This simulator is designed specifically for tuning the teleoperation system for each surgeon via the identification. This tuning capability brings flexibility to adjust the system operation with respect to the motion characteristics of the surgeon.
  • Conference Object
    Citation - WoS: 1
    Citation - Scopus: 6
    The Use of Chipless Sensors With Rfid for Condition Monitoring
    (Institute of Electrical and Electronics Engineers Inc., 2018) Biliç, H. Gökay; Büyüköztekin, Tarık; Büyüköztekin, Tarık; Özdemir, Serhan; Özdemir, Serhan; 01. Izmir Institute of Technology; 03.10. Department of Mechanical Engineering; 03. Faculty of Engineering
    This paper presents the development phases and overview of developing research in the area of RFID condition monitoring, focusing on chipless sensors especially use in strain and temperature sensing applications. Classification of RFID sensors and smart material fundamentals are reviewed. The compact and feasible design of RFID sensors will be considered, as well as with the effect of different material usage. Finally, the use of chipless sensors with different condition monitoring applications and their challenges are investigated.